Abstract
This paper presents a method for appropriate coupling of deterministic and statistical models. In the decision-support system for the Elbe river, a conceptual rainfall-runoff model is used to obtain the discharge statistics and corresponding average number of flood days, which is a key input variable for a rule-based model for floodplain vegetation. The required quality of the discharge time series cannot be determined by a sensitivity analysis because a deterministic model is linked to a statistical model. To solve the problem, artificial discharge time series are generated that mimic the hypothetical output of rainfall-runoff models of different accuracy. The results indicate that a feasible calibration of the rainfall-runoff model is sufficient to obtain consistency with the vegetation model in view of its sensitivity to changes in the number of flood days in the floodplains.
| Original language | English |
|---|---|
| Pages (from-to) | 595-606 |
| Number of pages | 12 |
| Journal | Environmental modeling & assessment |
| Volume | 14 |
| Issue number | 5 |
| DOIs | |
| Publication status | Published - 2009 |
Keywords
- Decision-support system
- River-basin management
- Appropriate modelling
- Model accuracy
- Elbe
- Floodplain vegetation model
- Rainfall-runoff model
